Главная
Study mode:
on
1
Intro
2
A short Overview of existing datasets
3
The Localization Challenge Dataset
4
Alternative annotation tools
5
Number of Annotated Subjects
6
Easy/difficult to annotate?
7
Example Videos
8
Features and Attributes
9
Example Results: Failure Cases
Description:
Explore the outcomes of the Localization Challenge in this 21-minute lecture from the ICCV'13 THUMOS Challenge workshop. Delve into existing datasets, the Localization Challenge Dataset, and alternative annotation tools. Examine the number of annotated subjects and discuss the ease or difficulty of annotation. View example videos, learn about features and attributes, and analyze failure cases through example results. Gain valuable insights into action recognition with a large number of classes, presented by Yu-Gang Jiang at the University of Central Florida.

Overview and Results of the THUMOS Action Localization Challenge

University of Central Florida
Add to list